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1دورية أكاديمية
المؤلفون: Chris M. Ward, Cristobal A. Onetto, Steven Van Den Heuvel, Robyn Dixon, Anthony R. Borneman
المصدر: OENO One, Vol 57, Iss 4 (2023)
مصطلحات موضوعية: grapevine, scale, mealybug, metagenomics, DNA barcoding, Agriculture, Botany, QK1-989
وصف الملف: electronic resource
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2
المؤلفون: Mohammad R. Alam, Chris M. Ward
المصدر: 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3eb6a2dc5dc830bb46208a2c923fb99f
https://doi.org/10.1109/aipr57179.2022.10092221 -
3
المؤلفون: Josh Harguess, Chris M. Ward
المصدر: 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c5138c641390c32989f928e0ddbddd6d
https://doi.org/10.1109/aipr57179.2022.10092230 -
4
المؤلفون: Chris M. Ward, Ben Cichy
المصدر: Geospatial Informatics XI.
مصطلحات موضوعية: Class (computer programming), Variable (computer science), Data point, Artificial neural network, business.industry, Computer science, Remote sensing (archaeology), Deep learning, Leverage (statistics), Artificial intelligence, business, Image resolution, Remote sensing
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::657de8e198432498318be8b6927ec3db
https://doi.org/10.1117/12.2588178 -
5
المؤلفون: Katie Rainey, Stephen Hobbs, Sam Borden, Chris M. Ward
المصدر: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
مصطلحات موضوعية: Class (computer programming), Computer science, business.industry, Open set, Cognitive neuroscience of visual object recognition, Inference, Machine learning, computer.software_genre, GeneralLiterature_MISCELLANEOUS, Domain (software engineering), Benchmark (computing), Overhead (computing), Artificial intelligence, business, Classifier (UML), computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4308f44f546e195f1eed8a8443b1fdea
https://doi.org/10.1117/12.2585134 -
6
المؤلفون: Chelsea Mediavilla, Jonathan Sato, Shibin Parameswaran, Chris M. Ward
المصدر: AIPR
مصطلحات موضوعية: Computer science, Image quality, 02 engineering and technology, computer.software_genre, Object (computer science), Object detection, Image (mathematics), Domain (software engineering), Set (abstract data type), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data mining, Focus (optics), computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9f2131ab988b7308923104f3cf1b6a24
https://doi.org/10.1109/aipr47015.2019.9174589 -
7
المصدر: Geospatial Informatics IX.
مصطلحات موضوعية: Task (computing), Network architecture, business.industry, Computer science, Labeled data, Artificial intelligence, State (computer science), Viewpoints, Machine learning, computer.software_genre, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::38c56610d3fbb9d1bf0e311bf8a26507
https://doi.org/10.1117/12.2518775 -
8
المؤلفون: Shibin Parameswaran, Chelsea Mediavilla, Josh Harguess, Marissa Dotter, Jonathan Sato, Chris M. Ward
المصدر: Geospatial Informatics IX.
مصطلحات موضوعية: Domain adaptation, Computer science, Computational biology, Synthetic data
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::121341f0f535777be3bc2ab44c25ecad
https://doi.org/10.1117/12.2518774 -
9
المؤلفون: Keith M. Sullivan, Rick Watkins, Josh Harguess, Chelsea Mediavilla, Cameron Hilton, Chris M. Ward
المصدر: Geospatial Informatics IX.
مصطلحات موضوعية: Computer science, business.industry, Deep learning, Artificial intelligence, Machine learning, computer.software_genre, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::47e6b9a59e53765b7422af24d454dff2
https://doi.org/10.1117/12.2519241 -
10
المؤلفون: Josh Harguess, Chris M. Ward, Shibin Parameswaran, Brendan Crabb
مصطلحات موضوعية: FOS: Computer and information sciences, Super resolution convolutional neural network, Image quality, Computer science, business.industry, Deep learning, media_common.quotation_subject, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, Image processing, Pattern recognition, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Spatial quality, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Quality (business), Artificial intelligence, business, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b0230ab32e00c11b75d0cabce169e8
http://arxiv.org/abs/1905.05373